shashankprasanna / ai-accelerators-examples
Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference
☆32Updated 4 years ago
Alternatives and similar repositories for ai-accelerators-examples:
Users that are interested in ai-accelerators-examples are comparing it to the libraries listed below
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- A high performance data access library for machine learning tasks☆74Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker☆13Updated 6 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆201Updated last week
- ☆57Updated 2 years ago
- Example code for AWS Neuron SDK developers building inference and training applications☆135Updated last week
- ☆20Updated 2 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆136Updated 4 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆69Updated 8 months ago
- SageMaker training implementation for computer vision to offload JPEG decoding and augmentations on GPUs using NVIDIA DALI — allowing yo…☆21Updated 3 years ago
- SageMaker Studio Docker CLI Extension☆13Updated 10 months ago
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆25Updated 2 years ago
- ☆39Updated 5 months ago
- Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference☆33Updated 4 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆97Updated 6 months ago
- This repository shows how to train an object detection algorithm with Detectron2 on Amazon SageMaker☆28Updated 3 years ago
- ☆43Updated 9 months ago
- From nothing to a deployed object detection model on SageMaker with Detectron2☆29Updated last year
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 9 months ago
- ☆88Updated 2 years ago
- This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon E…☆10Updated last year
- MLflow on AWS Fargate integrated with Amazon SageMaker.☆27Updated 7 months ago
- Amazon SageMaker Managed Spot Training Examples☆51Updated 7 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemaker☆13Updated last year
- ☆64Updated last year
- Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…☆52Updated 3 weeks ago